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IBM Quantum Platform

Qiskit addon API references

Explore reference documentation for Qiskit addon APIs to learn how to use their endpoints, parameters, and operations.

All Qiskit addons

A collection of modular research capabilities that enable the discovery of new quantum algorithms.

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  • Addon utilities

    A collection of tools to supplement workflows that involve one or more Qiskit addons.

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  • Approximate quantum compilation tensor

    Supports the construction of high-fidelity circuits with reduced depth.

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  • Circuit cutting

    Reduces the depth of transpiled circuits by decomposing entangling gates between non-adjacent qubits.

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  • Multi-product formulas

    Reduces the Trotter error of Hamiltonian dynamics through a weighted combination of several circuit executions.

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  • Operator backpropagation

    Reduces circuit depth by trimming operations from the end.

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  • Sample-based quantum diagonalization

    Yields more accurate quantum system Hamiltonian eigenvalue estimations.

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  • Paulice

    Boost the fidelity of sampled distributions using hardware-efficient Pauli checks based on spacetime codes.

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  • Propagated noise absorption

    Mitigate expectation values by measuring a target observable that has absorbed noise model information.

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  • Pauli propagation

    A framework to approximate operator evolution, which can be used to simulate expectation values and implement error mitigation techniques, such as propagated noise absorption (PNA) and shaded lightcones.

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  • Qiskit Fermions (Python)

    Extends the Qiskit Python SDK with tools for working on fermionic systems

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  • Qiskit Fermions (C)

    Extends the Qiskit C SDK with tools for working on fermionic systems

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  • Shaded lightcones

    Reduce probabilistic error cancellation (PEC) sampling overhead by removing noise model terms that have low impact on the observable estimation.

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  • Qiskit noise learning

    Build randomization-based quantum noise characterization experiments and model-fitting analysis pipelines.

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  • Qiskit Mitigation

    Build custom error mitigation pipelines with techniques such as PEC, ZNE, and TREX directly with Samplomatic.

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